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    <p>To do this you need to write your own analyzer class. This is relatively straightforward. Here is the one that I am using. It combines stop word filtering. Porter stemming and (this may be too much for your needs) stripping of accents from characters.</p> <pre><code>/// &lt;summary&gt; /// An analyzer that implements a number of filters. Including porter stemming, /// Diacritic stripping, and stop word filtering. /// &lt;/summary&gt; public class CustomAnalyzer : Analyzer { /// &lt;summary&gt; /// A rather short list of stop words that is fine for basic search use. /// &lt;/summary&gt; private static readonly string[] stopWords = new[] { "0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "000", "$", "£", "about", "after", "all", "also", "an", "and", "another", "any", "are", "as", "at", "be", "because", "been", "before", "being", "between", "both", "but", "by", "came", "can", "come", "could", "did", "do", "does", "each", "else", "for", "from", "get", "got", "has", "had", "he", "have", "her", "here", "him", "himself", "his", "how","if", "in", "into", "is", "it", "its", "just", "like", "make", "many", "me", "might", "more", "most", "much", "must", "my", "never", "now", "of", "on", "only", "or", "other", "our", "out", "over", "re", "said", "same", "see", "should", "since", "so", "some", "still", "such", "take", "than", "that", "the", "their", "them", "then", "there", "these", "they", "this", "those", "through", "to", "too", "under", "up", "use", "very", "want", "was", "way", "we", "well", "were", "what", "when", "where", "which", "while", "who", "will", "with", "would", "you", "your", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z" }; private Hashtable stopTable; /// &lt;summary&gt; /// Creates an analyzer with the default stop word list. /// &lt;/summary&gt; public CustomAnalyzer() : this(stopWords) {} /// &lt;summary&gt; /// Creates an analyzer with the passed in stop words list. /// &lt;/summary&gt; public CustomAnalyzer(string[] stopWords) { stopTable = StopFilter.MakeStopSet(stopWords); } public override TokenStream TokenStream(string fieldName, System.IO.TextReader reader) { return new PorterStemFilter(new ISOLatin1AccentFilter(new StopFilter(new LowerCaseTokenizer(reader), stopWords))); } } </code></pre>
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    1. POHow to enable stemming when searching using lucene.net?
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    1. USJack Ryan
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    1. POHow to enable stemming when searching using lucene.net?
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    1. COThanks, I will try this.
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      1. USdevson
    2. CO+1 thanks Jack, just what I was looking for. If I could I'd mark this as the answer!
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      1. USandy
    3. COI used your example, however I'm not getting results for queries for a number `4656` (the standard analyser works) I replaced stop words with the built in `StopAnalyzer.ENGLISH_STOP_WORDS` which does not include numbers, any ideas what's going on there?
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